Tag distribution visualization system

ABSTRACT

In various embodiments described herein, a visualization system receives message requests from client devices, wherein the message requests comprise at least location data that identifies a location of a client device, and media content, wherein the media content includes at least one of image data, audio data, and video data. In response to receiving the message requests that comprise the media content, the visualization system analyzes and parses the media content to detect one or more tags embedded within the media content. In response to detecting the tag, the visualization system identifies a campaign or account referenced by or associated with the tag. Based on the identification of the campaign based on the tag within the media content, the visualization system determines a distribution of the campaign based on the location data from the message request.

TECHNICAL FIELD

Embodiments of the present disclosure relate generally to systems fordata visualization and presentation.

BACKGROUND

A choropleth map, often referred to as a heat map, is a graphicalrepresentation of data where the individual values contained in a matrixare visually distinguished from one another based on a color or pattern,and in which areas of a map may be shaded or patterned based on theindividual values. Heatmaps therefore provide a clear method forvisualizing how a measurement may vary across a geographic region.

BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS

To easily identify the discussion of any particular element or act, themost significant digit or digits in a reference number refer to thefigure number in which that element is first introduced.

FIG. 1 is a block diagram showing an example messaging system forexchanging data (e.g., messages and associated content) over a networkin accordance with some embodiments, wherein the messaging systemincludes a visualization system.

FIG. 2 is block diagram illustrating further details regarding amessaging system, according to example embodiments.

FIG. 3 is a diagram illustrating tags identified in media contentidentified by a visualization system, according to certain exampleembodiments.

FIG. 4 is a visualization of a distribution of a campaign as presentedby a visualization system, according to certain example embodiments.

FIG. 5 is a visualization of a geographic and a temporal distribution ofa campaign as presented by a visualization system, according to certainexample embodiments.

FIG. 6 is a block diagram illustrating various modules of avisualization system, according to certain example embodiments.

FIG. 7 is a flowchart illustrating various operations of a visualizationsystem in performing a method for generating and presenting avisualization of a distribution of a campaign, according to certainexample embodiments.

FIG. 8 is a flowchart illustrating various operations of a visualizationsystem in performing a method for identifying a campaign associated witha tag, according to certain example embodiments.

FIG. 9 is a flowchart illustrating various operations of a visualizationsystem in performing a method for adjusting a visualization of adistribution, according to certain example embodiments.

FIG. 10 is a block diagram illustrating a representative softwarearchitecture, which may be used in conjunction with various hardwarearchitectures herein described and used to implement variousembodiments.

FIG. 11 is a block diagram illustrating components of a machine,according to some example embodiments, able to read instructions from amachine-readable medium (e.g., a machine-readable storage medium) andperform any one or more of the methodologies discussed herein.

DETAILED DESCRIPTION

Embodiments of the present disclosure relate generally to systems forthe visualization of data, and more specifically, for the visualizationof a distribution of message requests that contain a tag, wherein thetag includes a reference to an account or campaign. A campaign mayinclude a unique tag that may be identified within media content. Forexample, a publisher or distributor of a campaign may generate a tagthat comprises a graphical icon, and assign the graphical icon to thecampaign. In various embodiments described herein, a visualizationsystem receives message requests from client devices, wherein themessage requests comprise at least location data that identifies alocation of a client device, and media content, wherein the mediacontent includes at least one of image data, audio data, and video data.In response to receiving the message requests that comprise the mediacontent, the visualization system analyzes and parses the media contentto detect one or more tags embedded within the media content. Forexample, the visualization system may perform various object or patternrecognition techniques to identify the tags within the media content. Inresponse to detecting the tag, the visualization system identifies acampaign or account referenced by or associated with the tag. Based onthe identification of the campaign based on the tag within the mediacontent, the visualization system determines a distribution of thecampaign based on the location data from the message request.

In some embodiments, the visualization of the distribution of thecampaign generated and displayed by the visualization system may includea choropleth map, or “heat map,” which depicts a distribution of valuesrepresenting message requests that include media content that containsone or more tags associated with a campaign or account across ageographic area by presenting a colored, shaded, or patternedprogression over a map image depicting a geographic area. Theprogression may include single-hue progressions, bi-polar progressions,complementary hue progressions, blended hue progressions, partialspectral hue progressions, full spectral hue progressions, valueprogression maps, as well as patterned progression maps.

In some embodiments, the visualization system generates and maintainsgeo-fences based on the distribution determined based on the messagerequests. For example, the visualization system may generate andmaintain a geo-fence that encompasses a location in response toreceiving a message request that includes media content that contains atag associated with a campaign. The geo-fence may thereby be assigned tothe campaign, such that the visualization system may track and analyzemessage requests originating from within the geo-fence to identify tagsassociated with the campaign.

In some embodiments, the message requests may include timestamps thatindicate a time and date in which the message requests were generated.The visualization system may analyze the timestamps to generate andpresent a temporal distribution of a campaign. For example, the temporaldistribution of the campaign may include a series of bar graphs, or aheat map, wherein the temporal distribution provides an indication of amoment-to-moment (e.g., day-to-day, hour-to-hour, etc.) distribution ofmessage requests that include the tag.

Consider an illustrative example from the perspective of a publishermanaging a campaign. The publisher may identify one or more tags from acampaign managed by the publisher to the visualization system, whereinthe tags include images, logos, hashtags, or other similar graphicalelements or auditory tones. Tags may for example include logos or othergraphical identifiers associated with a publisher or user account (e.g.,Nike swoosh, Chevrolet Bowtie, etc.). In response, the visualizationsystem assigns those tags to an account associated with the campaign ofthe publisher.

A user of a client device may capture or generate media content to beassigned to a message request that includes a tag from among the one ormore tags identified by the publisher. For example, the user may take aphoto or video that includes a depiction of the tag a photo of abillboard that includes a company logo).

The user may thereby request to distribute the media content to one ormore recipients. The visualization system generates a message requestthat includes the media content, and one or more of location dataidentifying a geographical location of the client device, and atimestamp that indicates a time and date of the message requests, butomits persona user information, such as a user's name, names of therecipients of the media content, or any similar private user data. Insome embodiments, the message request may comprise only the locationdata and a timestamp that indicates only the date.

In response to distributing the message request, the visualizationsystem analyzes the media content of the message request to identify oneor more tags. Upon detecting a tag, the visualization system comparesthe tag to a campaign tag database to identify a match. If thevisualization system is able to identify a match, the visualizationsystem populates a value matrix that comprises numerical valueindicating a number of message requests that contain the tag associatedwith the campaign, along with location data identifying a location ofeach of the message requests.

Based on the value matrix, the visualization system generates andpresents a visualization of a distribution of the campaign, based onlocation data from the message requests, in response to detecting thetag associated with the campaign within media content of the messagerequest. The visualization includes a choropleth map that provides anindication of a distribution of message requests that contain the tagvia a presentation of a color progression on a map image. In this way,the visualization system may provide a visualization of a distributionof a campaign while maintaining user privacy.

FIG. 1 is a block diagram showing an example messaging system 100 forexchanging data (e.g., messages and associated content) over a network.The messaging system 100 includes multiple client devices 102, each ofwhich hosts a number of applications including a messaging clientapplication 104. Each messaging client application 104 iscommunicatively coupled to other instances of the messaging clientapplication 104 and a messaging server system 108 via a network 106(e.g., the Internet).

Accordingly, each messaging client application 104 is able tocommunicate and exchange data with another messaging client application104 and with the messaging server system 108 via the network 106. Thedata exchanged between messaging client applications 104, and between amessaging client application 104 and the messaging server system 108,includes functions (e.g., commands to invoke functions) as well aspayload data (e.g., text, audio, video or other multimedia data).

The messaging server system 108 provides server-side functionality viathe network 106 to a particular messaging client application 104. Whilecertain functions of the messaging system 100 are described herein asbeing performed by either a messaging client application 104 or by themessaging server system 108, it will be appreciated that the location ofcertain functionality either within the messaging client application 104or the messaging server system 108 is a design choice. For example, itmay be technically preferable to initially deploy certain technology andfunctionality within the messaging server system 108, but to latermigrate this technology and functionality to the messaging clientapplication 104 where a client device 102 has a sufficient processingcapacity.

The messaging server system 108 supports various services and operationsthat are provided to the messaging client application 104. Suchoperations include transmitting data to, receiving data from, andprocessing data generated by the messaging client application 104. Insome embodiments, this data includes, message content, client deviceinformation, geolocation information, media, annotation and overlays,message content persistence conditions, social network information, andlive event information, as examples. In other embodiments, other data isused. Data exchanges within the messaging system 100 are invoked andcontrolled through functions available via user interfaces (UIs) of themessaging client application 104.

Turning now specifically to the messaging server system 108, anApplication Program Interface (API) server 110 is coupled to, andprovides a programmatic interface to, an application server 112. Theapplication server 112 is communicatively coupled to a database server118, which facilitates access to a database 120 in which is stored dataassociated with messages processed by the application server 112.

Dealing specifically with the Application Program Interface (API) server110, this server receives and transmits message data (e.g., commands andmessage payloads) between the client device 102 and the applicationserver 112. Specifically, the Application Program interface (API) server110 provides a set of interfaces (e.g., routines and protocols) that canbe called or queried by the messaging client application 104 in order toinvoke functionality of the application server 112. The ApplicationProgram Interface (API) server 110 exposes various functions supportedby the application server 112, including account registration, loginfunctionality, the sending of messages, via the application server 112,from a particular messaging client application 104 to another messagingclient application 104, the sending of media files (e.g., images orvideo) from a messaging client application 104 to the messaging serverapplication 114, and for possible access by another messaging clientapplication 104, the setting of a collection of media data (e.g.,story), the retrieval of a list of friends of a user of a client device102, the retrieval of such collections, the retrieval of messages andcontent, the adding and deletion of friends to a social graph, thelocation of friends within a social graph, opening and application event(e.g., relating to the messaging client application 104).

The application server 112 hosts a number of applications andsubsystems, including a messaging server application 114, an imageprocessing system 116, a social network system 122, and a visualizationsystem 124. The messaging server application 114 implements a number ofmessage processing technologies and functions, particularly related tothe aggregation and other processing of content (e.g., textual andmultimedia content) included in messages received from multipleinstances of the messaging client application 104. As will be describedin further detail, the text and media content from multiple sources maybe aggregated into collections of content (e.g., called stories orgalleries). These collections are then made available, by the messagingserver application 114, to the messaging client application 104. Otherprocessor and memory intensive processing of data may also be performedserver-side by the messaging server application 114, in view of thehardware requirements for such processing.

The application server 112 also includes an image processing system 116that is dedicated to performing various image processing operations,typically with respect to images or video received within the payload ofa message at the messaging server application 114.

The social network system 122 supports various social networkingfunctions services, and makes these functions and services available tothe messaging server application 114. To this end, the social networksystem 122 maintains and accesses an entity graph within the database120. Examples of functions and services supported by the social networksystem 122 include the identification of other users of the messagingsystem 100 with which a particular user has relationships or is“following,” and also the identification of other entities and interestsof a particular user.

The application server 112 is communicatively coupled to a databaseserver 118, which facilitates access to a database 120 in which isstored data associated with messages processed by the messaging serverapplication 114.

FIG. 2 is block diagram illustrating further details regarding themessaging system 100, according to example embodiments. Specifically,the messaging system 100 is shown to comprise the messaging clientapplication 104 and the application server 112, which in turn embody anumber of some subsystems, namely an ephemeral timer system 202, acollection management system 204 and an annotation system 206.

The ephemeral timer system 202 is responsible for enforcing thetemporary access to content permitted by the messaging clientapplication 104 and the messaging server application 114. To this end,the ephemeral timer system 202 incorporates a number of timers that,based on duration and display parameters associated with a message, orcollection of messages (e.g., a SNAPCHAT story), selectively display andenable access to messages and associated content via the messagingclient application 104. Further details regarding the operation of theephemeral timer system 202 are provided below.

The collection management system 204 is responsible for managingcollections of content to be distributed to client devices (e.g.,collections of text, image video and audio data) In some examples, acollection of content (e.g., messages, including images, video, text andaudio) may be organized into an “event gallery” or an “event story.”Such a collection may be made available for a specified time period,such as the duration of an event to which the content relates. Forexample, content relating to a music concert may be made available as a“story” for the duration of that music concert. The collectionmanagement system 204 may also be responsible for publishing an iconthat provides notification of the existence of a particular collectionto the user interface of the messaging client application 104.

The collection management system 204 furthermore includes a curationinterface 208 that allows a collection manager to manage and curate aparticular collection of content. For example, the curation interface208 enables an event organizer to curate a collection of contentrelating to a specific event (e.g., delete inappropriate content orredundant messages). Additionally, the collection management system 204employs machine vision (or image recognition technology) and contentrules to automatically curate a content collection. In certainembodiments, compensation may be paid to a user for inclusion of usergenerated content into a collection. In such cases, the curationinterface 208 operates to automatically make payments to such users forthe use of their content.

The annotation system 206 provides various functions that enable a userto annotate or otherwise modify or edit media content associated with amessage through the addition or identification of tags associated withpublishers or account holders. For example, the annotation system 206provides functions related to the generation and publishing of mediaoverlays for messages processed by the messaging system 100. Theannotation system 206 operatively supplies a media overlay (e.g., aSNAPCHAT filter) to the messaging client application 104 based on ageolocation of the client device 102. In another example, the annotationsystem 206 operatively supplies a media overlay to the messaging clientapplication 104 based on other information, such as, social networkinformation of the user of the client device 102. A media overlay mayinclude audio and visual content and visual effects. Examples of audioand visual content include pictures, texts, logos, animations, and soundeffects. An example of a visual effect includes color overlaying. Theaudio and visual content or the visual effects can be applied to a mediacontent item (e.g., a photo) at the client device 102. For example, themedia overlay including text that can be overlaid on top of a photographgenerated taken by the client device 102. In another example, the mediaoverlay includes an identification of a location overlay (e.g., Venicebeach), a name of a live event, or a name of a merchant overlay (e.g.,Beach Coffee House). In another example, the annotation system 206 usesthe geolocation of the client device 102 to identify a media overlaythat includes the name of a merchant at the geolocation of the clientdevice 102. The media, overlay may include other indicia associated withthe merchant. The media overlays may be stored in the database 120 andaccessed through the database server 118.

In one example embodiment, the annotation system 206 provides auser-based publication platform that enables users to select ageolocation on a map, and upload content associated with the selectedgeolocation. The user may also specify circumstances under which aparticular media overlay should be offered to other users. Theannotation system 206 generates a media overlay that includes theuploaded content and associates the uploaded content with the selectedgeolocation.

In another example embodiment, the annotation system 206 provides amerchant-based publication platform that enables merchants to select aparticular media overlay associated with a geolocation via a biddingprocess. For example, the annotation system 206 associates the mediaoverlay of a highest bidding merchant with a corresponding geolocationfor a predefined amount of time.

FIG. 3 is a diagram 300 illustrating tags identified in media contentidentified by a visualization system 124, according to certain exampleembodiments. The diagram 300 includes depictions of sample media content302, 304, and 306. The sample media content may for example compriseimage data, video data, or animation data. As seen in the diagram 300,the sample media content includes images captured by a user of clientdevice 102 that contain depictions of tags such as company logos e.g.,tag 308, tag 310, and tag 312). The visualization system 124 identifiesthe tags within the sample media content based on the methods 600 and700, as seen in FIGS. 6 and 7.

FIG. 4 is a visualization 400 of a distribution of a campaign aspresented by a visualization system, according to certain exampleembodiments. As seen in FIG. 4, the visualization 400 includes achoropleth map 402 that depicts a distribution of a campaign bypresenting a color or pattern progression, wherein different shades orpattern correspond to different numerical values representative of aconcentration of message requests that contain a tang associated withthe campaign. For example, as seen in the visualization 400, the region404 represents a high concentration of message requests that contain atag associated with the campaign, while region 406 may represent a lowerconcentration of message requests that contain the tag associated withthe campaign. In some embodiments, the visualization system 124 maygenerate and maintain geo-fences based on the distribution depicted bythe visualization 400.

FIG. 5 is a visualization 500 of a geographic distribution 502 of acampaign that also includes a presentation of a temporal distribution504 of the campaign, as presented by a visualization system 124,according to certain example embodiments. The visualization 500 alsoincludes a slider element 506, wherein the slider element 506 isconfigured to receive a user input setting a temporal limit/criteria.For example, a user may provide an input moving the slider element 506to another position along an axis, and in response the visualizationsystem 124 updates the visualization 500.

In some embodiments, a user may provide an input selecting one or moretags, or a campaign, and in response, the visualization system 124accesses a database to retrieve data indicating a distribution of theselected tags. For example, a user may provide an input specifying acampaign, or a distributor or publisher associated with the campaign(e.g., “Duhrito's”), and in response the visualization system 124identifies and retrieves relevant data to be displayed in thevisualization 500.

FIG. 6 is a block diagram illustrating components of the visualizationsystem 124, that configure the visualization system 124 to receivemessage requests that comprise location data and media content, detecttags within the media content in response to receiving the messagerequests, identify a corresponding campaign based on the tags, andgenerate ad cause display of a visualization of a distribution of thecampaign based on the location data of the message request, in responseto identifying the campaign based on the tag, according to some exampleembodiments. The visualization system 124 is shown as including acommunication module modules 602, a tag detection module 604, anidentification module 606, and a visualization module 608, allconfigured to communicate with each other e.g., via a bus, sharedmemory, or a switch). Any one or more of these modules may beimplemented using one or more processors 610 (e.g., by configuring suchone or more processors to perform functions described for that module)and hence may include one or more of the processors 610.

Any one or more of the modules described may be implemented usinghardware alone (e.g., one or more of the processors 610 of a machine) ora combination of hardware and software. For example, any moduledescribed of the visualization system 124 may physically include anarrangement of one or more of the processors 610 (e.g., a subset of oramong the one or more processors of the machine) configured to performthe operations described herein for that module. As another example, anymodule of the visualization system 124 may include software, hardware,or both, that configure an arrangement of one or more processors 610(e.g., among the one or more processors of the machine) to perform theoperations described herein for that module. Accordingly, differentmodules of the visualization system 124 may include and configuredifferent arrangements of such processors 610 or a single arrangement ofsuch processors 610 at different points in time. Moreover, any two ormore modules of the visualization system 124 may be combined into asingle module, and the functions described herein for a single modulemay be subdivided among multiple modules. Furthermore, according tovarious example embodiments, modules described herein as beingimplemented within a single machine, database, or device may bedistributed across multiple machines, databases, or devices.

FIG. 7 is a flowchart illustrating various operations of a visualizationsystem 124 in performing a method 700 for generating and causing displayof a visualization of a distribution of a campaign, according to certainexample embodiments, and as depicted in FIG. 4. Operations of the method700 may be performed by the modules described above with respect to FIG.6. As shown in FIG. 7, the method 700 includes one or more operations702, 704, 706, and 708.

At operation 702, the communication module 602 receives a messagerequest having at least location data and media content. For example,the message request may include an ephemeral message transmitted from aclient device 102 to one or more recipients, wherein the ephemeralmessage includes media content such as image data, video data, or audiodata. The media content may further comprise a tag, or other similaridentifier, wherein the tag identifies a publisher, or campaignassociated with a publisher. For example, a tag may include a “hashtag,”or a company logo, barcodes or other similar coded images, text string,or an image associated with a campaign or publisher.

At operation 704, the tag detection module 604 detects a tag within themedia content, as seen in FIG. 3, in response to the communicationmodule 602 receiving the message request. In some embodiments, the tagdetection module 604 may apply various pattern recognition techniques todetect one or more tags within the media content.

Pattern recognition includes forms of machine learning that focus on therecognition of patterns and regularities in data. The tag detectionmodule 604 may be “trained” through a series of labeled training data,or in some embodiments may apply various algorithms known to those ofordinary skill in the art to discover and identify patterns (e.g.,through unsupervised learning).

In further embodiments, the tag detection module 604 may applyObject-based Image Analysis techniques to segment and classify mediacontent, as well as speech or audio recognition techniques. For example,in object recognition, the tag detection module 604 may use edgedetection systems to identify points in media content such as digitalimages and videos at which image brightness changes sharply, or hasdiscontinuities. The points at which the image brightness changes areorganized into a set of curved line segments. The curved line segmentsmay thereby be combined and analyzed to identify one or more tags withinthe media content.

Other forms of feature detection may be used by the tag detection module604 to identify corners, blobs, or ridges within the media content.Corners may refer to point-like features in media content, which have alocal two dimensional structure. Blobs refer to image structures interms of regions, and may comprise a preferred point (a local maximum ofan operator response or a center of gravity). A ridge may include aone-dimensional curve that represents an axis of symmetry, and inaddition has an attribute of local ridge width associated with eachridge point. At operation 706, the identification module 606 identifiesa campaign based on the tag extracted from the media content by the tagdetection module 604. Further details of specific example embodimentsthat perform operation 706 are depicted in the method 800 of FIG. 8.

At operation 708, the visualization module 608 generates and causesdisplay of a visualization of a distribution of the campaign based onthe location data of the message request, in response to theidentification module 606 identifying the campaign associated with thetag. In some embodiments, the visualization of the distribution of thecampaign may include a presentation of a map image that depicts a regionwhich includes the location identified by the location data, and whereinthe visualization includes a presentation of a graphical icon at aposition within the map image, wherein the position is based on thelocation data of the message request. The graphical icon may be based onthe campaign associated with the tag. For example, the graphical iconmay include a logo, or icon associated with the campaign.

The visualization of the distribution of the campaign may include apresentation of a choropleth map, or heat map, that comprises a mapimage depicting a distribution of the campaign based on the locationdata from the message request. The heat map may depict a distribution ofmessage requests that contain media content that includes one or moretags associated with a particular campaign. For example, thevisualization of the distribution of the campaign may be depicted by acolor progression.

The color progression may include a single-hue progression that fadesfrom a dark shade of a chosen color to a very light shade of the chosecolor or white, wherein the darkest hue represents the greatestconcentration/number value in a data set, and the lightest shaderepresents the least concentration/number value.

The color progression may include a bi-polar progression to show achange in value from negative to positive or on either side of somecentral tendency, such as the mean of the variable being mapped (e.g.,campaign distribution). For example, a bi-polar progression may rangefrom a dark shade of a first color to a dark shade of a second color,with white applied at the central most value.

The campaign may have campaign parameters that include a start date andan end date, and the message request may also comprise a timestampindicating a time and date in which the message request was created. Thevisualization generated and displayed by the visualization module 608may comprise a depiction of a temporal distribution of message requeststhat include the tag associated with the campaign, as seen in FIG. 8.For example, the visualization may include a slider element configuredto receive a user input to adjust a temporal range. In response toreceiving a user input specifying the temporal range, the visualizationmodule 608 may access a database of message requests to retrieve messagerequests with timestamps within the temporal range defined by the userinput. The visualization module 608 may thus alter the presentation ofthe map image to include a heat map based on the message requests sentwithin the temporal range.

FIG. 8 is a flowchart illustrating various operations of a visualizationsystem 124 in performing operations of a method 800 for identifying acampaign based on a tag, according to certain example embodiments.Operations of the method 800 may be performed by the modules describedabove with respect to FIG. 6. As shown in FIG. 8, the method 800includes one or more operations 802, and 804. In some embodiments, themethod 800 may be performed as a sub-routine, or subsequent to,operation 706 of the method 700 of FIG. 7.

At operation 804, the identification module 606 performs a comparison ofa tag detected within media content against a campaign tag database(e.g., database 120). For example, a publisher may provide one or moretags to be associated with a campaign to the visualization system 124.The visualization system 124 may index or otherwise store the tagswithin the campaign tag database, at a memory location associated withthe campaign indicated by the publisher. In response to the tagdetection module 604 detecting the tag within the media content, theidentification module 606 performs a comparison of the detected tagagainst the one or more tags stored within the campaign tag database. Atoperation 806, the identification module 606 identifies the campaign (orcampaigns) associated with the tag.

In some embodiments, the campaign has the tag, and distribution criteriathat include geo-location criteria, as well as a start date and an enddate. The distribution of the campaign initiates on the start date andconcludes on the end date.

FIG. 9 is a flowchart illustrating various operations of a visualizationsystem 124 in performing a method 900 for adjusting a visualization of adistribution of a campaign, according to certain example embodiments.Operations of the method 900 may be performed by the modules describedabove with respect to FIG. 6. As shown in FIG. 9, the method 900includes one or more operations 902, 904, 906, 908, and 910.

At operation 902, the visualization system 124 generates a geo-fencethat encompasses a location identified by the location data of themessage request received by the communication module 602. A geo-fence isa virtual perimeter for a real-world geographic area that comprises aboundary. The boundary may for example include a circle, or polygonalshape. In some embodiments, the visualization system 124 may determineparameters of the geo-fence based on the distribution of the campaign.For example, the visualization system 124 may alter and adjust a sizeand shape of the geo-fence based on location data of subsequent messagerequests. In further embodiments, the visualization system 124 maygenerate individual geo-fences based on the location data form eachmessage request received, wherein the geo-fence has a predefined sizeand shape (e.g., 50 m×50 m square, or 50 m radius from a pointidentified by the location data). At operation 904, the identificationmodule 606 assigns the geo-fence or geo-fences to the campaignassociated with the detected tag.

At operation 906, the communication module 602 receives a second messagerequest that comprises second media content and second location data,wherein the second location data identifies the location of thegeo-fence. In response to receiving the second message request fromwithin the gent-fence, the tag detection module 604 determines whetheror not the second media content of the second message request containsthe tag associated with the campaign of the geo-fence.

At operation 910, the visualization module 608 alters and adjusts thevisualization of the distribution of the campaign based on aconfirmation that the second media content contains the tag associatedwith the campaign. For example, the visualization module 608 may alter acolor progression of a heat map to indicate a greater concentration ofmessage requests that contain the tag associated with the campaign at alocation identified by the location data from the message requests.

At operation 902, the distribution module 602 causes display of anotification at a client device 102, wherein the notification includes arequest to present the second content. As discussed above with respectto FIGS. 7 and 8, the second content may include a survey comprising oneor more questions requesting binary responses. The notification may bedisplayed as an overlay upon a graphical user interface of the clientdevice 102, such that the notification may be moved or repositionedwithin the graphical user interface. In some embodiments, thenotification may include an indication of the second content (e.g.,“Take this quick survey!”). Recipients of the notification may provide auser input to ignore or accept the notification.

In response to receiving a user input to the notification, thedistribution module 602 may cause display of the second content (e.g.,the survey). For example, the survey may be overlaid over graphicalelements within a graphical user interface of the client device 102. Thesurvey may comprise a set of questions related to the first content,wherein the questions include requests for responses. In some exampleembodiments, the requests may include requests for binary responses.

Software Architecture

FIG. 10 is a block diagram illustrating an example software architecture1006, which may be used in conjunction with various hardwarearchitectures herein described. FIG. 10 is a non-limiting example of asoftware architecture and it will be appreciated that many otherarchitectures may be implemented to facilitate the functionalitydescribed herein. The software architecture 1006 may execute on hardwaresuch as machine 1100 of FIG. 11 that includes, among other things,processors 1104, memory 1114, and I/O components 1118. A representativehardware layer 1052 is illustrated and can represent, for example, themachine 1100 of FIG. 11. The representative hardware layer 1052 includesa processing unit 1054 having associated executable instructions 1004.Executable instructions 1004 represent the executable instructions ofthe software architecture 1006, including implementation of the methods,components and so forth described herein. The hardware layer 1052 alsoincludes memory and/or storage modules memory/storage 1056, which alsohave executable instructions 1004. The hardware layer 1052 may alsocomprise other hardware 1058.

In the example architecture of FIG. 10, the software architecture 1006may be conceptualized as a stack of layers where each layer providesparticular functionality. For example, the software architecture 1006may include layers such as an operating system 1002, libraries 1020,applications 1016 and a presentation layer 1014. Operationally, theapplications 1016 and/or other components within the layers may invokeapplication programming interface (API) calls 1008 through the softwarestack and receive a response as in response to the API calls 1008. Thelayers illustrated are representative in nature and not all softwarearchitectures have all layers. For example, some mobile or specialpurpose operating systems may not provide a frameworks/middleware 1018,while others may provide such a layer. Other software architectures mayinclude additional or different layers.

The operating system 1002 may manage hardware resources and providecommon services. The operating system 1002 may include, for example, akernel 1022, services 1024 and drivers 1026. The kernel 1022 may act asan abstraction layer between the hardware and the other software layers.For example, the kernel 1022 may be responsible for memory management,processor management (e.g., scheduling), component management,networking, security settings, and so on. The services 1024 may provideother common services for the other software layers. The drivers 1026are responsible for controlling or interfacing with the underlyinghardware. For instance, the drivers 1026 include display drivers, cameradrivers, Bluetooth® drivers, flash memory drivers, serial communicationdrivers (e.g., Universal Serial Bus (USB) drivers), Wi-Fi® drivers,audio drivers, power management drivers, and so forth depending on thehardware configuration.

The libraries 1020 provide a common infrastructure that is used by theapplications 1016 and/or other components and/or layers. The libraries1020 provide functionality that allows other software components toperform tasks in an easier fashion than to interface directly with theunderlying operating system 1002 functionality (e.g., kernel 1022,services 1024 and/or drivers 1026). The libraries 1020 may includesystem libraries 1044 (e.g., C standard library) that may providefunctions such as memory allocation functions, string manipulationfunctions, mathematical functions, and the like. In addition, thelibraries 1020 may include API libraries 1046 such as media libraries(e.g., libraries to support presentation and manipulation of variousmedia format such as MPREG4, H.264, MP3, AAC, AMR, JPG, PNG), graphicslibraries (e.g., an OpenGL framework that may be used to render 2D and3D in a graphic content on a display), database libraries (e.g., SQLitethat may provide various relational database functions), web libraries(e.g., WebKit that may provide web browsing functionality), and thelike. The libraries 1020 may also include a wide variety of otherlibraries 1048 to provide many other APIs to the applications 1016 andother software components/modules.

The frameworks/middleware 1018 (also sometimes referred to asmiddleware) provide a higher-level common infrastructure that may beused by the applications 1016 and/or other software components/modules.For example, the frameworks/middleware 1018 may provide various graphicuser interface (GUI) functions, high-level resource management,high-level location services, and so forth. The frameworks/middleware1018 may provide a broad spectrum of other APIs that may be used by theapplications 1016 and/or other software components/modules, some ofwhich may be specific to a particular operating system 1002 or platform.

The applications 1016 include built-in applications 1038 and/orthird-party applications 1040. Examples of representative built-inapplications 1038 may include, but are not limited to, a contactsapplication, a browser application, a book reader application, alocation application, a media application, a messaging application,and/or a game application. Third-party applications 1040 may include anapplication developed using the ANDROID™ or IOS™ software developmentkit (SDK) by an entity other than the vendor of the particular platform,and may be mobile software running on a mobile operating system such asIOS™, ANDROID™, WINDOWS® Phone, or other mobile operating systems. Thethird-party applications 1040 may invoke the API calls 1008 provided bythe mobile operating system (such as operating system 1002) tofacilitate functionality described herein.

The applications 1016 may use built in operating system functions (e.g.,kernel 1022, services 1024 and/or drivers 1026), libraries 1020, andframeworks/middleware 1018 to create user interfaces to interact withusers of the system. Alternatively, or additionally, in some systemsinteractions with a user may occur through a presentation layer, such aspresentation layer 1014. In these systems, the application/component“logic” can be separated from the aspects of the application/componentthat interact with a user. FIG. 11 is a block diagram illustratingcomponents of a machine 1100, according to some example embodiments,able to read instructions from a machine-readable medium (e.g., amachine-readable storage medium) and perform any one or more of themethodologies discussed herein. Specifically, FIG. 11 shows adiagrammatic representation of the machine 1100 in the example form of acomputer system, within which instructions 1110 (e.g., software, aprogram, an application, an applet, an app, or other executable code)for causing the machine 1100 to perform any one or more of themethodologies discussed herein may be executed. As such, theinstructions 1110 may be used to implement modules or componentsdescribed herein. The instructions 1110 transform the general,non-programmed machine 1100 into a particular machine 1100 programmed tocarry out the described and illustrated functions in the mannerdescribed. In alternative embodiments, the machine 1100 operates as astandalone device or may be coupled (e.g., networked) to other machines.In a networked deployment, the machine 1100 may operate in the capacityof a server machine or a client machine in a server-client networkenvironment, or as a peer machine in a peer-to-peer (or distributed)network environment. The machine 1100 may comprise, but not be limitedto, a server computer, a client computer, a personal computer (PC), atablet computer, a laptop computer, a netbook, a set-top box (STB), apersonal digital assistant (PDA), an entertainment media system, acellular telephone, a smart phone, a mobile device, a wearable device(e.g., a smart watch), a smart home device (e.g., a smart appliance),other smart devices, a web appliance, a network router, a networkswitch, a network bridge, or any machine capable of executing theinstructions 1110, sequentially or otherwise, that specify actions to betaken by machine 1100. Further, while only a single machine 1100 isillustrated, the term “machine” shall also be taken to include acollection of machines that individually or jointly execute theinstructions 1110 to perform any one or more of the methodologiesdiscussed herein.

The machine 1100 may include processors 1104, memory memory/storage1106, and I/O components 1118, which may be configured to communicatewith each other such as via a bus 1102. The memory/storage 1106 mayinclude a memory 1114, such as a main memory, or other memory storage,and a storage unit 1116, both accessible to the processors 1104 such asvia the bus 1102. The storage unit 1116 and memory 1114 store theinstructions 1110 embodying any one or more of the methodologies orfunctions described herein. The instructions 1110 may also reside,completely or partially, within the memory 1114, within the storage unit1116, within at least one of the processors 1104 (e.g., within theprocessor's cache memory), or any suitable combination thereof, duringexecution thereof by the machine 1100. Accordingly, the memory 1114, thestorage unit 1116, and the memory of processors 1104 are examples ofmachine-readable media.

The I/O components 1118 may include a wide variety of components toreceive input, provide output, produce output, transmit information,exchange information, capture measurements, and so on. The specific I/Ocomponents 1118 that are included in a particular machine 1100 willdepend on the type of machine. For example, portable machines such asmobile phones will likely include a touch input device or other suchinput mechanisms, while a headless server machine will likely notinclude such a touch input device. It will be appreciated that the I/Ocomponents 1118 may include many other components that are not shown inFIG. 11. The I/O components 1118 are grouped according to functionalitymerely for simplifying the following discussion and the grouping is inno way limiting. In various example embodiments, the I/O components 1118may include output components 1126 and input components 1128. The outputcomponents 1126 may include visual components (e.g., a display such as aplasma display panel (PDP), a light emitting diode (LED) display, aliquid crystal display (LCD), a projector, or a cathode ray tube (CRT)),acoustic components (e.g., speakers), haptic components (e.g., avibratory motor, resistance mechanisms), other signal generators, and soforth. The input components 1128 may include alphanumeric inputcomponents (e.g., a keyboard, a touch screen configured to receivealphanumeric input, a photo-optical keyboard, or other alphanumericinput components), point based input components (e.g., a mouse, atouchpad, a trackball, a joystick, a motion sensor, or other pointinginstrument), tactile input components (e.g., a physical button, a touchscreen that provides location and/or force of touches or touch gestures,or other tactile input components), audio input components (e.g., amicrophone), and the like.

In further example embodiments, the I/O components 1118 may includebiometric components 1130, motion components 1134, environmentalcomponents 1136, or position components 1138 among a wide array of othercomponents. For example, the biometric components 1130 may includecomponents to detect expressions (e.g., hand expressions, facialexpressions, vocal expressions, body gestures, or eye tracking), measurebiosignals (e.g., blood pressure, heart rate, body temperature,perspiration, or brain waves), identify a person (e.g., voiceidentification, retinal identification, facial identification,fingerprint identification, or electroencephalogram basedidentification), and the like. The motion components 1134 may includeacceleration sensor components (e.g., accelerometer), gravitation sensorcomponents, rotation sensor components (e.g., gyroscope), and so forth.The environment components 1136 may include, for example, illuminationsensor components (e.g., photometer), temperature sensor components(e.g., one or more thermometer that detect ambient temperature),humidity sensor components, pressure sensor components (e.g.,barometer), acoustic sensor components (e.g., one or more microphonesthat detect background noise), proximity sensor components (e.g.,infrared sensors that detect nearby objects), gas sensors (e.g., gasdetection sensors to detection concentrations of hazardous gases forsafety or to measure pollutants in the atmosphere), or other componentsthat may provide indications, measurements, or signals corresponding toa surrounding physical environment. The position components 1138 mayinclude location sensor components (e.g., a Global Position system (GPS)receiver component), altitude sensor components (e.g., altimeters orbarometers that detect air pressure from which altitude may be derived),orientation sensor components (e.g., magnetometers), and the like.

Communication may be implemented using a wide variety of technologies.The I/O components 1118 may include communication components 1140operable to couple the machine 1100 to a network 1132 or devices 1120via coupling 1122 and coupling 1124 respectively. For example, thecommunication components 1140 may include a network interface componentor other suitable device to interface with the network 1132. In furtherexamples, communication components 1140 may include wired communicationcomponents, wireless communication components, cellular communicationcomponents, Near Field Communication (NFC) components, Bluetooth®components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and othercommunication components to provide communication via other modalities.The devices 1120 may be another machine or any of a wide variety ofperipheral devices (e.g., a peripheral device coupled via a UniversalSerial Bus (USB)).

Moreover, the communication components 1140 may detect identifiers orinclude components operable to detect identifiers. For example, thecommunication components 1140 may include Radio Frequency Identification(RFID) tag reader components, NFC smart tag detection components,optical reader components (e.g., an optical sensor to detectone-dimensional bar codes such as Universal Product Code (UPC) bar code,multi-dimensional bar codes such as Quick Response (QR) code, Azteccode, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2Dbar code, and other optical codes), or acoustic detection components(e.g., microphones to identify tagged audio signals). In addition, avariety of information may be derived via the communication components1140, such as, location via Internet Protocol (IP) geo-location,location via Wi-Fi® signal triangulation, location via detecting a NFCbeacon signal that may indicate a particular location, and so forth.

Glossary

“CARRIER SIGNAL” in this context refers to any intangible medium That iscapable of storing, encoding, or carrying instructions for execution bythe machine, and includes digital or analog communications signals orother intangible medium to facilitate communication of suchinstructions. Instructions may be transmitted or received over thenetwork using a transmission medium via a network interface device andusing any one of a number of well-known transfer protocols.

“CLIENT DEVICE” in this context refers to any machine that interfaces toa communications network to obtain resources from one or more serversystems or other client devices. A client device may be, but is notlimited to, a mobile phone, desktop computer, laptop, portable digitalassistants (PDAs), smart phones, tablets, ultra books, netbooks,laptops, multi-processor systems, microprocessor-based or programmableconsumer electronics, game consoles, set-top boxes, or any othercommunication device that a user may use to access a network.

“COMMUNICATIONS NETWORK” in this context refers to one or more portionsof a network that may be an ad hoc network, an intranet, an extranet, avirtual private network (VPN), a local area network (LAN), a wirelessLAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), ametropolitan area network (MAN), the Internet, a portion of theInternet, a portion of the Public Switched Telephone Network (PSTN), aplain old telephone service (POTS) network, a cellular telephonenetwork, a wireless network, a Wi-Fi® network, another type of network,or a combination of two or more such networks. For example, a network ora portion of a network may include a wireless or cellular network andthe coupling may be a Code Division Multiple Access (CDMA) connection, aGlobal System for Mobile communications (GSM) connection, or other typeof cellular or wireless coupling. In this example, the coupling mayimplement any of a variety of types of data transfer technology, such asSingle Carrier Radio Transmission Technology 1×RTT), Evolution-DataOptimized (EVDO) technology, General Packet Radio Service (GPRS)technology, Enhanced Data rates for GSM Evolution (EDGE) technology,third Generation Partnership Project (3GPP) including 3G, fourthgeneration wireless (4G) networks, Universal Mobile TelecommunicationsSystem (UMTS), High Speed Packet Access (HSPA), WorldwideInteroperability for Microwave Access (WiMAX), Long Term Evolution (LTE)standard, others defined by various standard setting organizations,other long range protocols, or other data transfer technology.

“EMPHEMERAL MESSAGE” in this context refers to a message that isaccessible for a time-limited duration. An ephemeral message may be atext, an image, a video and the like. The access time for the ephemeralmessage may be set by the message sender. Alternatively, the access timemay be a default setting or a setting specified by the recipient.Regardless of the setting technique, the message is transitory.

“MACHINE-READABLE MEDIUM” in this context refers to a component, deviceor other tangible media able to store instructions and data temporarilyor permanently and may include, but is not be limited to, random-accessmemory (RAM), read-only memory (ROM), buffer memory, flash memory,optical media, magnetic media, cache memory, other types of storage(e.g., Erasable Programmable Read-Only Memory (EEPROM)) and/or anysuitable combination thereof. The term “machine-readable medium” shouldbe taken to include a single medium or multiple media (e.g., acentralized or distributed database, or associated caches and servers)able to store instructions. The term “machine-readable medium” shallalso be taken to include any medium, or combination of multiple media,that is capable of storing instructions (e.g., code) for execution by amachine, such that the instructions, when executed by one or moreprocessors of the machine, cause the machine to perform any one or moreof the methodologies described herein. Accordingly, a “machine-readablemedium” refers to a single storage apparatus or device, as well as“cloud-based” storage systems or storage networks that include multiplestorage apparatus or devices. The term “machine-readable medium”excludes signals per se.

“COMPONENT” in this context refers to a device, physical entity or logichaving boundaries defined by function or subroutine calls, branchpoints, application program interfaces (APIs), or other technologiesthat provide for the partitioning or modularization of particularprocessing or control functions. Components may be combined via theirinterfaces with other components to carry out a machine process. Acomponent may be a packaged functional hardware unit designed for usewith other components and a part of a program that usually performs aparticular function of related functions. Components may constituteeither software components (e.g., code embodied on a machine-readablemedium) or hardware components. A “hardware component” is a tangibleunit capable of performing certain operations and may be configured orarranged in a certain physical manner. In various example embodiments,one or more computer systems (e.g., a standalone computer system, aclient computer system, or a server computer system) or one or morehardware components of a computer system (e.g., a processor or a groupof processors) may be configured by software (e.g., an application orapplication portion) as a hardware component that operates to performcertain operations as described herein. A hardware component may also beimplemented mechanically, electronically, or any suitable combinationthereof. For example, a hardware component may include dedicatedcircuitry or logic that is permanently configured to perform certainoperations. A hardware component may be a special-purpose processor,such as a Field-Programmable Gate Array (FPGA) or an ApplicationSpecific Integrated Circuit (ASIC). A hardware component may alsoinclude programmable logic or circuitry that is temporarily configuredby software to perform certain operations. For example, a hardwarecomponent may include software executed by a general-purpose processoror other programmable processor. Once configured by such software,hardware components become specific machines specific components of amachine) uniquely tailored to perform the configured functions and areno longer general-purpose processors. It will be appreciated that thedecision to implement a hardware component mechanically, in dedicatedand permanently configured circuitry, or in temporarily configuredcircuitry (e.g., configured by software) may be driven by cost and timeconsiderations. Accordingly, the phrase “hardware component”(or“hardware-implemented component”) should be understood to encompass atangible entity, be that an entity that is physically constructed,permanently configured (e.g., hardwired), or temporarily configured(e.g., programmed) to operate in a certain manner or to perform certainoperations described herein. Considering embodiments in which hardwarecomponents are temporarily configured (e.g., programmed), each of thehardware components need not be configured or instantiated at any oneinstance in time. For example, where a hardware component comprises ageneral-purpose processor configured by software to become aspecial-purpose processor, the general-purpose processor may beconfigured as respectively different special-purpose processors (e.g.,comprising different hardware components) at different times. Softwareaccordingly configures a particular processor or processors, forexample, to constitute a particular hardware component at one instanceof time and to constitute a different hardware component at a differentinstance of time. Hardware components can provide information to, andreceive information from, other hardware components. Accordingly, thedescribed hardware components may be regarded as being communicativelycoupled. Where multiple hardware components exist contemporaneously,communications may be achieved through signal transmission (e.g., overappropriate circuits and buses) between or among two or more of thehardware components. In embodiments in which multiple hardwarecomponents are configured or instantiated at different times,communications between such hardware components may be achieved, forexample, through the storage and retrieval of information in memorystructures to which the multiple hardware components have access. Forexample, one hardware component may perform an operation and store theoutput of that operation in a memory device to which it iscommunicatively coupled. A further hardware component may then, at alater time, access the memory device to retrieve and process the storedoutput. Hardware components may also initiate communications with inputor output devices, and can operate on a resource (e.g., a collection ofinformation). The various operations of example methods described hereinmay be performed, at least partially, by one or more processors that aretemporarily configured (e.g., by software) or permanently configured toperform the relevant operations. Whether temporarily or permanentlyconfigured, such processors may constitute processor-implementedcomponents that operate to perform one or more operations or functionsdescribed herein. As used herein, “processor-implemented component”refers to a hardware component implemented using one or more processors.Similarly, the methods described herein may be at least partiallyprocessor-implemented, with a particular processor or processors beingan example of hardware. For example, at least some of the operations ofa method may be performed by one or more processors orprocessor-implemented components. Moreover, the one or more processorsmay also operate to support performance of the relevant operations in a“cloud computing” environment or as a “software as a service” (SaaS).For example, at least some of the operations may be performed by a groupof computers (as examples of machines including processors), with theseoperations being accessible via a network (e.g., the Internet) and viaone or more appropriate interfaces (e.g., an Application ProgramInterface (API)). The performance of certain of the operations may bedistributed among the processors, not only residing within a singlemachine, but deployed across a number of machines. In some exampleembodiments, the processors or processor-implemented components may belocated in a single geographic location (e.g., within a homeenvironment, an office environment, or a server farm). In other exampleembodiments, the processors or processor-implemented components may bedistributed across a number of geographic locations.

“PROCESSOR” in this context refers to any circuit or virtual circuit (aphysical circuit emulated by logic executing on an actual processor)that manipulates data values according to control signals (e.g.,“commands”, “op codes”, “machine code”, etc.) and which producescorresponding output signals that are applied to operate a machine. Aprocessor may, for example, be a Central Processing Unit (CPU), aReduced Instruction Set Computing (RISC) processor, a ComplexInstruction Set Computing (CISC) processor, a Graphics Processing Unit(GPU), a Digital Signal Processor (DSP), an Application SpecificIntegrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC)or any combination thereof. A processor may further be a multi-coreprocessor having two or more independent processors (sometimes referredto as “cores”) that may execute instructions contemporaneously.

“TIMESTAMP” in this context refers to a sequence of characters orencoded information identifying when a certain event occurred, forexample giving date and time of day, sometimes accurate to a smallfraction of a second.

“LIFT” in this context is a measure of the performance of a targetedmodel at predicting or classifying cases as having an enhanced response(with respect to a population as a whole), measured against a randomchoice targeting model.

What is claimed is:
 1. A method comprising: receiving a message requestthat comprises location data and media content; detecting a patternwithin the media content based on pattern recognition; comparing thepattern against a tag database; identifying a tag based on a match tothe pattern within the tag database; identifying a campaign based on thetag; and causing display of a visualization of a distribution of thecampaign based on the location data of the message request in responseto the identifying of the campaign based on the tag.
 2. The method ofclaim 1, wherein the media content includes at least one of an image, avideo, audio data, a caption, a logo, and a text string.
 3. The methodof claim 1, wherein the campaign further comprises a start date and anend date, the message request further comprises a time-stamp thatindicates a time of the message request, and wherein the causing displayof the visualization of the distribution of the campaign furthercomprises: presenting a temporal distribution of the campaign, thetemporal distribution of the campaign spanning a period of time thatincludes the start date and the end date of the campaign, and includesan indication of the time of the message request.
 4. The method of claim1, wherein the visualization of the distribution of the campaignincludes a choropleth map.
 5. The method of claim 1, wherein the messagerequest is a first message request, the location data is a firstlocation data that identifies a location, and the method furthercomprises: generating a geo-fence that encompasses the locationidentified by the first location data of the first message request inresponse to the identifying the campaign based on the tag of the firstmessage request; assigning the geo-fence to the campaign; receiving asecond message request that comprises second media content, and secondlocation data that identifies the location of the geo-fence; detectingthe tag within the second media content of the second message request;and adjusting the visualization of the distribution of the campaign inresponse to the detecting the tag within the second media content of thesecond message request.
 6. The method of claim 1, wherein the campaigncomprises a campaign identifier, and wherein the causing display of thevisualization of the distribution of the campaign based on the locationdata of the message request further comprises: causing display of a mapimage that depicts a region that includes a location identified by thelocation data; and presenting a graphical icon at the locationidentified by the location data within the map image, the graphical iconbased on the campaign identifier.
 7. A system comprising: a memory; andat least one hardware processor coupled to the memory and comprisinginstructions that causes the system to perform operations comprising:receiving a message request that comprises location data and mediacontent; detecting a pattern within the media content based on patternrecognition; comparing the pattern against a tag database; identifying atag based on a match to the pattern within the tag database; identifyinga campaign based on the tag; and causing display of a visualization of adistribution of the campaign based on the location data of the messagerequest in response to the identifying the campaign based on the tag. 8.The system of claim 7, wherein the media content includes at least oneof an image, a video, audio data, a caption, a logo, and a text string.9. The system of claim 7, wherein the campaign further comprises a startdate and an end date, the message request further comprises a time-stampthat indicates a time of the message request, and wherein the causingdisplay of the visualization of the distribution of the campaign furthercomprises: presenting a temporal distribution of the campaign, thetemporal distribution of the campaigning spanning a period of time thatincludes the start date and the end date of the campaign, and includesan indication of the time of the message request.
 10. The system ofclaim 7, wherein the visualization of the distribution of the campaignincludes a choropleth map.
 11. The system of claim 7, wherein themessage request is a first message request, the location data is a firstlocation data that identifies a location, and the instructions cause thesystem to perform operations further comprising: generating a geo-fencethat encompasses the location identified by the first location data ofthe first message request in response to the identifying the campaignbased on the tag of the first message request; assigning the geo-fenceto the campaign; receiving a second message request that comprisessecond media content, and second location data that identifies thelocation of the geo-fence; detecting the tag within the second mediacontent of the second message request; and adjusting the visualizationof the distribution of the campaign in response to the detecting the tagwithin the second media content of the second message request.
 12. Thesystem of claim 7, wherein the campaign comprises a campaign identifier,and wherein the causing display of the visualization of the distributionof the campaign based on the location data of the message requestfurther comprises: causing display of a map image that depicts a regionthat includes a location identified by the location data; and presentinga graphical icon at the location identified by the location data withinthe map image, the graphical icon based on the campaign identifier. 13.A non-transitory machine-readable storage medium comprising instructionsthat, when executed by one or more processors of a machine, cause themachine to perform operations comprising: receiving a message requestthat comprises location data and media content; detecting a patternwithin the media content based on pattern recognition; comparing thepattern against a tag database; identifying a tag based on a match tothe pattern within the tag database; identifying a campaign based on thetag; and causing display of a visualization of a distribution of thecampaign based on the location data of the message request in responseto the identifying the campaign based on the tag.
 14. The non-transitorymachine-readable storage medium of claim 13, wherein the media contentincludes at least one of an image, a video, audio data, a caption, alogo, and a text string.
 15. The non-transitory machine-readable storagemedium of claim 13, wherein the campaign further comprises a start dateand an end date, the message request further comprises a time-stamp thatindicates a time of the message request, and wherein the causing displayof the visualization of the distribution of the campaign furthercomprises: presenting a temporal distribution of the campaign, thetemporal distribution of the campaigning spanning a period of time thatincludes the start date and the end date of the campaign, and includesan indication of the time of the message request.
 16. The non-transitorymachine-readable storage medium of claim 13, wherein the visualizationof the distribution of the campaign includes a choropleth map.
 17. Thenon-transitory machine-readable storage medium of claim 13, wherein themessage request is a first message request, the location data is a firstlocation data that identifies a location, and the instructions cause themachine to perform operations further comprising: generating a geo-fencethat encompasses the location identified by the first location data ofthe first message request in response to the identifying the campaignbased on the tag of the first message request; assigning the geo-fenceto the campaign; receiving a second message request that comprisessecond media content, and second location data that identifies thelocation of the geo-fence; detecting the tag within the second mediacontent of the second message request; and adjusting the visualizationof the distribution of the campaign in response to the detecting the tagwithin the second media content of the second message request.